code: def setUp(self):
      self.data_source = TSVDataSource(
          SafeFileWrapper(
              tests_module.test_file("train_dense_features_tiny.tsv")
          ),
          SafeFileWrapper(
              tests_module.test_file("test_dense_features_tiny.tsv")
          ),
          eval_file=None,
          field_names=["label", "slots", "text", "dense"],
          schema={"text": str, "label": str},
      )
  
      self.tensorizers = {
          "tokens": TokenTensorizer(text_column="text"),
          "labels": LabelTensorizer(
              label_column="label", allow_unknown=True
          ),
      }
  
imports: import unittest
  from pytext.common.constants import RawExampleFieldName, Stage
  from pytext.data import Batcher, Data, PoolingBatcher
  from pytext.data.data import RowData
  from pytext.data.sources import RawExample
  from pytext.data.sources.data_source import SafeFileWrapper
  from pytext.data.sources.tsv import TSVDataSource
  from pytext.data.tensorizers import LabelTensorizer, TokenTensorizer
  from pytext.data.utils import pad
  from pytext.utils import precision
  from pytext.utils.test import import_tests_module
label_desc: Use image node_id 1 for calling the DataTest obj's underlying member method code with example usage: obj.setUp() without return types